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| Section | Objectives |
|---|---|
| Topic 1: Snowflake Architecture and Platform Concepts | - Storage and data organization - Snowflake architecture fundamentals - Virtual warehouses and compute model |
| Topic 2: Data Transformation and Processing | - SQL operations in Snowflake - Streams and tasks for data pipelines |
| Topic 3: Data Sharing and Protection | - Secure data sharing - Data replication and failover concepts |
| Topic 4: Performance and Optimization | - Query optimization basics - Warehouse sizing and scaling |
| Topic 5: Security and Access Control | - Role-based access control (RBAC) - Authentication and user management |
| Topic 6: Data Loading and Unloading | - Bulk data loading using stages and COPY INTO - External and internal stages |
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NEW QUESTION # 521
Which command can be used to load data files into a Snowflake stage?
Answer: B
Explanation:
The PUTcommand is used to load data files into a Snowflake stage.This command uploads data files from a local file system to a specified stage in Snowflake
NEW QUESTION # 522
Which function should be used to access values from an object?
Answer: C
Explanation:
The correct answer is C. GET_PATH .
GET_PATH extracts a value from semi-structured data using a path expression. It can be used to access values inside an object, including nested values.
Why C is correct:
For an object stored in a VARIANT or OBJECT column, GET_PATH can retrieve a value by specifying the key path.
Example:
SELECT GET_PATH(src, ' customer.name ' )
FROM my_table;
This accesses the name value inside the customer object.
Why the other options are incorrect:
A). OBJECT_KEYS returns the keys from an object, not the values for a specific key path.
B). OBJECT_PICK returns a new object containing selected key-value pairs, but it is not the general function for accessing a value by path.
D). XMLGET is used for XML data, not general JSON-style object access.
Official Snowflake documentation reference:
Snowflake documentation describes GET_PATH as a function that extracts a value from semi-structured data using a path name.
Reference: Snowflake Documentation - GET_PATH; Querying semi-structured data; SnowPro Core Study Guide - Working with Semi-Structured Data.
NEW QUESTION # 523
A company configures two resource monitors:
* An account-level resource monitor with a quota of 1,000 credits and the action NOTIFY & SUSPEND.
* A warehouse-level resource monitor for the Marketing warehouse with a quota of 200 credits and the action NOTIFY & SUSPEND.
What happens when the Marketing warehouse reaches 200 credits while total account usage is only 700 credits?
Answer: D
Explanation:
A warehouse can be governed by its assigned warehouse-level resource monitor independently of an account- level resource monitor.
When the Marketing warehouse reaches its own 200-credit threshold, the NOTIFY & SUSPEND action takes effect even though the account-level monitor has not reached its 1,000-credit threshold.
The suspend action prevents new statements from starting and suspends the warehouse after currently running statements complete. It does not immediately cancel running queries.
Immediate cancellation corresponds to the NOTIFY & SUSPEND IMMEDIATE action. The user's administrative role does not exempt a running query from the monitor's configured threshold action.
References:
Snowflake Documentation - Resource monitors: https://docs.snowflake.com/en/user-guide/resource-monitors Snowflake SQL Reference - CREATE RESOURCE MONITOR: https://docs.snowflake.com/en/sql- reference/sql/create-resource-monitor
NEW QUESTION # 524
Which Snowflake table type persists until it is explicitly dropped. is available for all users with relevant privileges (across sessions). and has no Fail-safe period?
Answer: A
Explanation:
The type of Snowflake table that persists until it is explicitly dropped, is available for all users with relevant privileges across sessions, and does not have a Fail-safe period, is a Transient table. Transient tables are designed to provide temporary storage similar to permanent tables but with some reduced storage costs and without the Fail-safe feature, which provides additional data protection for a period beyond the retention time.
Transient tables are useful in scenarios where data needs to be temporarily stored for longer than a session but does not require the robust durability guarantees of permanent tables.
NEW QUESTION # 525
Which statistics on a Query Profile reflect the efficiency of the query pruning? (Select TWO).
Answer: B,C
Explanation:
In a Snowflake Query Profile, the statistics " Partitions scanned " and " Bytes scanned " reflect the efficiency of query pruning. Query pruning refers to the ability of the query engine to skip unnecessary data, thereby reducing the amount of data that needs to be processed. Efficient pruning results in fewer partitions and bytes being scanned, improving query performance.
Snowflake Documentation: Understanding Query Profiles
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Bottom of Form
NEW QUESTION # 526
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